Experimental Vibration Analysis

Academic Study Board of the Faculty of Engineering

Teaching language: English
EKA: T020009102
Censorship: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master

Course ID: T020009101
ECTS value: 5

Date of Approval: 31-08-2018


Duration: 1 semester

Version: Archive

Course ID

T020009101

Course Title

Experimental Vibration Analysis

ECTS value

5

Internal Course Code

ITI-EVA

Responsible study board

Academic Study Board of the Faculty of Engineering

Administrative Unit

Institut for Teknologi og Innovation

Date of Approval

31-08-2018

Course Responsible

Name Email Department
Helle Gad hgad@iti.sdu.dk
Sine Leergaard Wiggers slp@iti.sdu.dk

Teachers

Name Email Department City
Anders Brandt abra@iti.sdu.dk

Programme Secretary

Name Email Department City
Lea Sundsgaard Jensen leje@iti.sdu.dk

Offered in

Odense

Level

Master

Offered in

Spring

Duration

1 semester

Mandatory prerequisites

BSc in Physics and Technology, or BEng in Civil Engineering or Mechanical Engineering or educations with equivalent technical/professional qualifications..

Learning objectives - Knowledge

  • Time domain methods for integration, differentiation, and octave filtering 
    • Statistical methods: Skewness, kurtosis, hypothesis tests for stationarity 
    • The discrete Fourier transform, DFT 
    • Time windows: Hanning, flattop, half-sine 
    • Spectral analysis of periodic, random, and transient signals 
    • Welch's method for spectral density estimation 
    • Smoothed periodogram method for spectral density estimation 
    • Measurement of frequency response using impact and shaker excitation 
    • Multiple-input/multiple output (MIMO) analysis with shaker excitation 
    • The accelerometer, force transducer, and electromagnetic shakers 

    Learning objectives - Skills

    • Select methods for quality assessment of measured vibration signals 
      • Use statistical hypothesis tests for testing stationarity 
      • Select suitable sampling frequency and recording time for vibration analysis 
      • Select and use methods for integration and differentiation of discrete signals 
      • Apply the discrete Fourier transform for frequency analysis 
      • Apply impact testing and shaker testing for frequency response measurement 

      Learning objectives - Competences

      • Compute and interpret experimental spectra for analysis of periodic, random, and transient signals 
        • Select optimal settings for spectra and frequency response function measurements 
        • Select and apply common piezoelectric sensors for vibration analysis 

        URL for Skemaplan

        Teaching Method

        The teaching is a combination of lectures and assignments.

        Number of lessons

        48 hours per semester

        Teaching language

        English

        Examination regulations

        Exam

        Name

        Exam

        Examination is held

        In the end of the semester 

        Tests

        Exam

        EKA

        T020009102

        Name

        Exam

        Form of examination

        Oral examination

        Censorship

        Second examiner: Internal

        Grading

        7-point grading scale

        Identification

        Student Identification Card

        Language

        English

        ECTS value

        5

        Courses offered

        Offer period Offer type Profile Education Semester

        Studieforløb

        Profile Education Semester Offer period